| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6904465 | Applied Soft Computing | 2016 | 39 Pages |
Abstract
- Nonlinear congestion management problem is solved using Hybrid Nelder-Mead - Fuzzy Adaptive Particle Swarm Optimization (HNM-FAPSO).
- Congestion is managed by rescheduling generators and sensitive generators are selected based on Apparent Power Sensitivity Factor (APSF).
- The congestion cost, rescheduled real power, power loss and computation time are less using HNM-FAPSO.
- The feasibility and performance of the HNM-FAPSO algorithm is compared over other algorithms like FAPSO, NM, SBF, ABFNM, GA and S-PSO.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
J. Jeslin Drusila Nesamalar, P. Venkatesh, S. Charles Raja,